Foundations of mining non-structured medical data

Alejandro began his career in 2008 when he moved from Oviedo, Asturias, to Madrid, intending to work at the university for just a year while pursuing his master's degree. However, he became captivated by research, making it his lifelong commitment and choosing to stay in Madrid. Despite concerns about the challenges of a career in science—such as low pay and instability—he has no regrets. Alejandro is now a professor in Computer Languages and Systems and Software Engineering at the Technical University of Madrid.

Consuelo Gonzalo Martín earned her B.A. in Physics from Salamanca University in 1986 and her Ph.D. from the Complutense University of Madrid in 1989. Since 1993, she has served as an Assistant Professor in the Department of Architecture and Technology of Computers at the Universidad Politécnica de Madrid. Her research focuses on image processing using pixels and objects, as well as artificial neural networks, particularly in remote sensing, medical imaging, and facial recognition. She has developed numerous algorithms for optical image fusion and artificial neural networks such as ART and SOM. In 2012, she joined the MIDAS (Data Mining and Simulation) research group at UPM’s Center for Biomedical Technology, contributing to R&D projects in text and image mining within healthcare. Throughout her career, she has directed over 12 funded research projects, participated in around 15 others, co-authored 25 publications in high-impact international journals, and presented at 40 international conferences.

Professor at the Department of Computer Systems, Languages, and Software Engineering within the Faculty of Computer Science at Universidad Politécnica de Madrid (UPM), she specializes in Data Mining. With a background in Computer Science and a PhD in the same field, she is currently a member of the MIDAS "Data Mining and Data Simulation" group at UPM's Center for Biotechnology. Her research spans various aspects of data mining project development, with a recent focus on applying data mining techniques in the medical field. She has contributed to numerous research and development projects related to data integration and mining on mobile devices. Her academic contributions include three internationally published books on web mining (Springer, 2003, 2004, 2009) and papers in top international journals such as Data and Knowledge Engineering Journal, Information Sciences, Expert Systems with Applications, Journal of Medical Systems, and International Journal of Intelligent Data Analysis.